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Sonia M. de Morais

Researcher at Pfizer

Publications -  11
Citations -  1255

Sonia M. de Morais is an academic researcher from Pfizer. The author has contributed to research in topics: Efflux & In vivo. The author has an hindex of 10, co-authored 11 publications receiving 1187 citations.

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In vitro P-glycoprotein assays to predict the in vivo interactions of P-glycoprotein with drugs in the central nervous system.

TL;DR: It is demonstrated that in vitro transporter assays help in understanding the role of P-glycoprotein-mediated efflux activity in determining the disposition of CNS drugs in vivo, and the transwell assay is a valuable in vitro assay to evaluate human P-gp interaction with compounds for assessing brain penetration of new chemical entities to treat CNS disorders.
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Comparative gene expression profiles of ABC transporters in brain microvessel endothelial cells and brain in five species including human.

TL;DR: This study identifies several additional ABC family members that may contribute to xenobiotic efflux at the human BBB, and compares the expression of a broad array of efflux transporters between human and four other species relevant to pharmacological research.
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Induction of drug metabolism enzymes and MDR1 using a novel human hepatocyte cell line

TL;DR: Preliminary data show that Fa2N-4 cells can be a reliable surrogate for primary human hepatocytes, and, when used in conjunction with the Invader technology, could provide a reliable assay for assessment of induction of drug-metabolizing enzymes and transporters.
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Inhibition of human organic anion transporting polypeptide OATP 1B1 as a mechanism of drug-induced hyperbilirubinemia.

TL;DR: Evidence is provided that the calculated fraction of OATP1B1 inhibited at the clinical exposure level correlated very well with the observed hyperbilirubinemia outcome for these drugs in humans, which supports the hypothesis that inhibition of OatP1 B1 is an important mechanism for drug-induced unconjugated hyperbilIRubinemi.
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Use of immortalized human hepatocytes to predict the magnitude of clinical drug-drug interactions caused by CYP3A4 induction.

TL;DR: Excellent correlations were obtained, suggesting that Fa2N-4 cells can be used for identification of inducers as well as prediction of the magnitude of clinical DDIs.